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Combined fuzzy TOPSIS and AHP-based methodology for the prioritization of maintenance key performance indicators: Application to an oil refinery plant

机译:结合模糊TOPSIS和基于AHP的方法对维护关键性能指标进行优先级排序:在炼油厂中的应用

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摘要

A Maintenance Performance Measurement model based on the use of Maintenance Key Performance Indicators (MKPIs) is proposed in the present paper. Referring to a specific industrial context, a multi-level hierarchical structure is firstly designed to highlight the most meaningful perspectives which affect the maintenance performance. Then, MKPIs selected from the literature or properly formulated to detail some particular perspective of the investigated maintenance process are assigned to the hierarchical framework and prioritized by a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) and Analytic Hierarchy Process (AHP)-based approach.
机译:本文提出了一种基于维护关键绩效指标(MKPI)的维护绩效衡量模型。针对特定的工业环境,首先设计了一个多层次的层次结构,以突出影响维护性能的最有意义的观点。然后,将从文献中选择的MKPI或经过适当配制以详细描述所研究维护过程的某些特定角度的MKPI分配给层次结构框架,并通过模糊技术对优先级进行优先排序,以类似于理想解决方案的优先顺序(FTOPSIS)和分析层次结构过程(AHP) )为基础的方法。

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